Connectionists: PhD in Bioinformatics/Machine Learning

[Colin Campbell]

PhD studentship in Bioinformatics


We are advertising a PhD studentship in bioinformatics. The applicant should have strong mathematical and computational skills and be interested in the application of these techniques within genomic medicine. An ongoing theme has been the development of integrative classifiers for predicting the functional impact of human genetic variation i.e. if variation is pathogenic (a disease-driver) or neutral (see e.g. fathmm.biocompute.org.uk<http://fathmm.biocompute.org.uk/>, cscape.biocompute.org.uk<http://cscape.biocompute.org.uk/>). We are very interested in using bioinformatics and machine learning methods to find disease subtypes via unsupervised learning, find variants acting as disease-drivers, predict course of disease, predict response to treatment and find drug targets, for example. A major objective of the project will be to work with Prof. Moin Saleem and his team to use these methods to identify disease-drivers responsible for nephrotic syndrome and chronic kidney disease and to further our understanding and ability to treat these diseases. Applicants for the studentship should have strong mathematical and computational skills and experience in Python, R and other programming languages would be useful, but not required. The student will be based within the Intelligent Systems Laboratory of the University of Bristol and will work with Dr. Colin Campbell (Intelligent Systems Laboratory) and Dr. Tom Gaunt (MRC IEU Bioinformatics Lead), in addition to Prof. Moin Saleem.

Useful links:

Dr. Colin Campbell: https://seis.bristol.ac.uk/~enicgc/index.htm

Prof. Moin Saleem: http://www.bristol.ac.uk/clinical-sciences/people/moin-saleem/index.html

Dr. Tom Gaunt: http://www.bristol.ac.uk/social-community-medicine/people/tom-r-gaunt/

Intelligent Systems Laboratory: https://intelligentsystems.bristol.ac.uk/

The deadline is: Monday 18th June by 9am Student application

Furher deatils about the application process are available at:

http://www.gw4biomed.ac.uk/projects-2/for-students/

　

and the project brief description is at:

　

http://www.gw4biomed.ac.uk/ai-and-data-science-studentships-projects/

　

Developing and using intelligent machine learning tools to re-classify kidney disease based on novel molecular fingerprints
We will use advanced methods from machine learning in application to genomic medicine, see e.g. https://seis.bristol.ac.uk/~enicgc/software.htm. Though the applications areas will be broad-based, a particular focus will be chronic kidney disease and nephrotic syndrome, in collaboration with Prof. Moin Saleem (University of Bristol).

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